Use of Force

Latino Rate, Use of Force 2017

Total Rate, by Quadrant, Use of Force 2017

ggplot(data=use_of_force, aes(x = reorder(county_name, total_rate ), y = total_rate , fill = quadrant)) +
  geom_bar(stat="identity") +
  scale_fill_manual(values=c("green", "orange", "red", "yellow" ), na.value="gray")+
  coord_flip()  +
  labs(title = "Use of Force %",
       subtitle = "2017") +
  theme_tufte()

Plotly

MAP

library(leaflet)
library(sf)
library(rgdal)
library(rpostgis)
library(RColorBrewer)

# get counties
shp <- pgGetGeom(con, "cb_2017_us_county_500k", clauses = "where statefp = '06'")
#class(shp)

#spplot(shp, "aland")

dat = merge(shp, use_of_force, by.x="geoid", by.y="county_id", all=TRUE)
spplot(dat, "total_rate")

Interactive map

# define color palette
 pal <- colorQuantile(
  palette = "YlOrRd",
  domain = dat@data$total_rate, n = 5
)


# map
leaflet(dat) %>%                                        # call leaflet library
  addProviderTiles(providers$CartoDB.Positron) %>%   # call basemap tiles from carto
  
  addPolygons(data=dat, color="gray",          # define data and aesthetics to be mapped
              weight=1, fillOpacity = 0.7,
              fillColor = ~pal(total_rate), # fill color of the polygons, using RColorBrewer palette
            
        # define actions & style for when the user hovers over the polygon
              highlightOptions = highlightOptions(
                                    color = "white",         
                                    weight = 2, 
                                    bringToFront = TRUE),

        # define popup text -- concatenate data values with text labels
            popup = paste0(dat@data$county_name, " County</br>",   
                       round(dat@data$total_rate, 2), 
                       " Use of Force %")) %>%
  
  # add legend
  addLegend(position = "bottomleft",
            pal = pal,                                  
            values = ~total_rate,
            title="Use of Force (%)" )